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, including extensive knowledge of statistical methods (particularly regression analysis and analysis of longitudinal data), and of writing syntax files in appropriate software (e.g. Stata, R and Python
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topics. Experience developing software in a scientific computing context, ideally using Python/Pytorch/R, including the use of established libraries used in data science and artificial intelligence
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in some form or via MSc education in Cognitive Neuroscience / Brain imaging) Experience working with either R, Python or Matlab for running experimental tasks and data analysis Proven ability
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, Python, and R. The appointee will need to be collaborative, diligent and an effective communicator with excellent organisational and administrative skills to meet the many and varied aspects of the role
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computing environments. Proven ability to analyse complex information and summarise appropriately using programming languages such as Python. Proven communication skills, including presentation to various
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programming language being applied to research, data science or artificial intelligence e.g. Python, C, C++ or R. (ii) Or one modern automation or infrastructure-as-code language applied to HPC systems
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candidate will be involved in preparing, exploring and graphically summarising large time-series data sets, including the combination of different data sources and types using Excel, Python, Matlab, SQL
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relevant industrial experience within at least two of the below: i. Programming in Python or Matlab ii. Sleep studies and analysis of sleep data iii. EEG analysis (ERPs and Time Frequency) iv. Machine
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development Desirable Criteria Knowledge of DAX, M, Python and/or R Experience of working with Higher Education datasets. Additional Information IMPORTANT: Evidencing Criteria It is the University’s policy
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relevant areas, or equivalent experience Knowledge, Skills and Experience Good quantitative skills and past experience with statistical data analysis Experience working with either R, Python or Matlab